Title:
COLLISION CONDITION PREDICTING SYSTEM BY NEURAL NETWORK
Document Type and Number:
Japanese Patent JP2540431
Kind Code:
B2
Abstract:
PURPOSE: To promptly predict the conditions which may occur in the collision, and rapidly and surely secure the safety of an occupant by providing a displacement predicting means to quantitatively predict the conditions which may occur subsequently for the data inputted by applying the parallel processing algorithm.
CONSTITUTION: The preliminarily specified collision wave is inputted in an input layer 1 of a first neural network and a second neural network having an intermediate layer as the learning data, and the desired output data are given to an output layer 4. The learning operation of a displacement predicting circuit and an air bag unfolding discriminating circuit is executed by these data. In addition, the collision wave pattern data detected by an acceleration sensor S during the collision based on the neural network in the learning completed condition are inputted, and the specified threshold distance reaching time is extrapolatedly predicted by means of a displacement predicting circuit based on the learning results of the neural network. The air bag unfolding action according to the collided conditions is determined by the logical product with the air bag unfolding signal by the air bag unfolding discriminating circuit.
Inventors:
NISHIO TOMOYUKI
Application Number:
JP6265593A
Publication Date:
October 02, 1996
Filing Date:
February 26, 1993
Export Citation:
Assignee:
TAKATA CORP
International Classes:
B60R21/16; G06N3/00; (IPC1-7): B60R21/32
Domestic Patent References:
| JP4955031A | ||||
| JP47660A | ||||
| JP5229398A | ||||
| JP4103450A | ||||
| JP3121951A | ||||
| JP3116281A | ||||
| JP484308A | ||||
| JP2308301A |
Other References:
【文献】国際公開90/9298(WO,A)
Attorney, Agent or Firm:
Tetsuro Sunaba